Dissertation from RECOD is within the TOP 10 in Computer Science in Brazil

We are very glad to announce that the dissertation entitled “Multiple Parenting Relationships in Image Phylogeny” of Alberto Oliveira, and supervised by Prof. Anderson Rocha, from RECOD, has been selected for oral presentation on the XXIX Thesis and Dissertations Contest (CTD/SBC 2016), which is a national competition of thesis and dissertations in Computer Science organized annually by the Brazilian Computing Society (SBC). This means the research work is within the best ten dissertations in Brazil! Congratulations!

CTD article abstract: Due to the large amount of images shared on the web, tracking the spread and evolution of their content have become an increasingly important problem. As an image might be a composition created through the combination of the semantic information existent in two or more source images, establishing a relationship between the sources and the composite is an ever-growing problem of interest. We name as Multiple Parenting Phylogeny the problem of identifying such relationships in a set containing near-duplicate subsets of source and composition images. To tackle this problem, this work presents a three-step solution: (1) separation of near-duplicate groups; (2) classification of the relations between the groups; and (3) identification of the images used to create the original composition. Furthermore, we extend upon this framework by introducing key improvements, such as better identification of when two images share content, and improved ways to compare this content. Evaluation of the proposed method is performed by means of quantitative metrics established for evaluating the accuracy in reconstructing phylogenies and finding multiple parenting relationships in the different datasets. Finally, we also analyze the results qualitatively, with images obtained from the web

The full version of the CTD article is available. (c) 2016 CSBC ALL RIGHTS RESERVED

Image Phylogeny Tree reconstructed from the near-duplicate images. Tx is the transformation applied.

Image Phylogeny Tree reconstructed from the near-duplicate images. Tx is the transformation applied.

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